i recently asked my team to share their messy paths when working with AI tools - here's what we uncovered. most of us see polished demos and tips online ⚡ but rarely get insights into those bumpy roads you take before getting there: the first prompts tried, backtracks needed , or times ai just didn't fit in at all . it's a big deal because AI tools change sooo fast that what works today might be obsolete tomorrow. past tech shifts taught us this lesson hard .
what's your biggest takeaway from messy workflow sharing? and do you have any tips for navigating these bumps on the road to ai integration ?
found this here:
https://zapier.com/blog/ai-behind-the-build